mn_map: Quick maps of Mongolia with ggplot2

In mongolmaps: Maps and Administrative Boundaries of Mongolia and Ulaanbaatar

Quick maps of Mongolia with ggplot2

Description

Draws any map from this package, or a map joined to your data, with sensible defaults: a projection suited to Mongolia, a colour-blind friendly palette, grey for missing values, optional labels and surroundings, and the data attribution as a caption. The result is a normal ggplot, so you can add layers, scales and themes to it.

Usage

mn_map(
  x = NULL,
  fill = NULL,
  trans = "identity",
  label = FALSE,
  context = FALSE,
  crs = NULL,
  lang = NULL,
  caption = TRUE,
  title = NULL,
  label_size = 2.6
)

Arguments

x	An sf object, typically from mn_aimags(), mn_soums(), mn_khoroos() or mn_join(), or a terra raster such as mn_elevation(), mn_landcover() or mn_population(). Defaults to the aimags.
fill	Column to colour the polygons by (unquoted), or a single colour such as "steelblue". Numbers get a continuous viridis scale; text and factors get a discrete one.
trans	Transformation of a numeric fill scale, such as "log10" or "sqrt". Useful when Ulaanbaatar dwarfs everything else.
label	TRUE to label each unit with its name (khoroos with their number), or an unquoted column to label with.
context	If TRUE, draws neighbouring countries, major rivers and lakes around the map.
crs	Projection. NULL picks one: Albers equal-area for the country or large parts of it, UTM zone 48N for Ulaanbaatar and other small areas in central Mongolia. See mn_crs().
lang	Language of labels when label = TRUE: "en", "mn" or "mns".
caption	TRUE adds the data attribution from mn_citation(); FALSE adds none; a string is used as is.
title	Optional plot title.
label_size	Text size of labels.

Value

A ggplot object.

See Also

Other mapping helpers: mn_aimag_grid, mn_crs(), mn_label_points(), mn_leaflet(), theme_mn()

Examples

mn_map()
mn_map(mn_aimags(), fill = area_km2, label = TRUE)
mn_map(mn_khoroos(district = "Bayangol"), label = TRUE)

pop <- mn_example_population[mn_example_population$Year == 2025, ]
pop_map <- mn_join(pop, "Region", level = "aimag")
mn_map(pop_map, fill = value, trans = "log10", title = "Population, 2025")


mn_map(mn_landcover())
mn_map(mn_elevation()) + ggplot2::geom_sf(data = mn_aimags(), fill = NA, colour = "white")

mongolmaps documentation built on Oct. 10, 2026, 5:08 p.m.